code: def add_ray_args(parser):
      """Add ray and fault-tolerance related parser arguments to the parser."""
      group = parser.add_argument_group("Ray related arguments")
      group.add_argument(
          "--ray-address",
          default="auto",
          type=str,
          help="address for ray initialization",
      )
      group.add_argument(
          "--fix-batch-size",
          default=None,
          metavar="B1,B2,...,B_N",
          type=lambda uf: options.eval_str_list(uf, type=int),
          help="fix the actual batch size (max_sentences * update_freq "
          "* n_GPUs) to be the fixed input values by adjusting update_freq "
          "accroding to actual n_GPUs; the batch size is fixed to B_i for "
          "epoch i; all epochs >N are fixed to B_N",
      )
      return group
  
file_path: ray/doc/source/ray-core/examples/lm/ray_train.py
imports: import copy
  import math
  import socket
  import time
  from contextlib import closing
  import fairseq
  from fairseq import options
  from fairseq_cli.train import main
  import ray
label_desc: Use image node_id 2 for calling a global function with example usage: add_ray_args(parser) and returns: group